Ke‐Wu Yang

2.1k citations
98 papers · 1.8k · h-index 26

Impact in

Papers in

Ke‐Wu Yang

96 papers receiving 1.8k citations

Peers

Ke‐Wu Yang
Comparison fields: 5 of 109
  • Molecular Medicine 807
  • Applied Microbiology and Biotechnology 99
  • Infectious Diseases 337
  • Pharmacology 287
  • Organic Chemistry 403
Replace Christian Damblon with:
Christian Damblon Belgium
Bala Kishan Gorityala Singapore
Francisca Sanz Spain
Marco Terreni Italy
Runming Wang China
Manuela Benvenuti Italy
Cristina Prudêncio Portugal
Venkateswarlu Yarlagadda India
Sujata V. Bhat India
Chunderika Mocktar South Africa
Ke‐Wu Yang relative to Christian Damblon Belgium Christian Damblon's profile →
Citations per field
00.5×2.8×
Christian Damblon · 1×
Citations per year

Countries citing papers authored by Ke‐Wu Yang

Since Specialization
Citations

This map shows the geographic impact of Ke‐Wu Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ke‐Wu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke‐Wu Yang more than expected).

Fields of papers citing papers by Ke‐Wu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ke‐Wu Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ke‐Wu Yang. The network helps show where Ke‐Wu Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Ke‐Wu Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ke‐Wu Yang Line = papers co-authored together Ke‐Wu Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202092
2 201582
3 200577
4 202075
5 201458
6 201655
7 202154
8 200552
9 200652
10 201250
11 201946
12 201543
13 200641
14 201838
15 200537
16 202036
17 201932
18
One-Step Synthesis of n-Butanol from Ethanol Condensation over Alumina-Supported Metal Catalysts
200430
19 201729
20 201829

About Ke‐Wu Yang

Ke‐Wu Yang is a scholar working on Molecular Medicine, Molecular Biology, Epidemiology, Infectious Diseases and Pharmacology, having authored 98 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (61 papers), Pneumocystis jirovecii pneumonia detection and treatment (23 papers), Antibiotics Pharmacokinetics and Efficacy (20 papers), Tuberculosis Research and Epidemiology (19 papers), Phenothiazines and Benzothiazines Synthesis and Activities (17 papers), Pharmaceutical and Antibiotic Environmental Impacts (14 papers), thermodynamics and calorimetric analyses (8 papers) and Antimicrobial agents and applications (7 papers). The work is most often cited by research in Molecular Medicine (807 citations), Applied Microbiology and Biotechnology (99 citations), Infectious Diseases (337 citations), Pharmacology (287 citations) and Organic Chemistry (403 citations). Ke‐Wu Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael W. Crowder, Peter Oelschlaeger, Le Zhai, Le-Yun Sun, Brian Bennett, Cheng Chen, Cheng Chen, Jiaqi Li, Yilin Zhang and Narayan Prasad Sharma. Their work appears in journals such as Bioorganic Chemistry, Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters, New Journal of Chemistry and Biochemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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